A Study on the Correlation of China's Major Industries Development Based on Spearman Correlation Coefficient

Xin Wang; Zhiyang Liu; Peng Li; Huaming Yu

doi:10.54097/10mgsx82

Authors

Xin Wang
Zhiyang Liu
Peng Li
Huaming Yu

DOI:

https://doi.org/10.54097/10mgsx82

Keywords:

Normality Test, Pearson, Visual Analysis, Gross Domestic Product.

Abstract

China's national economic system is large and diversified. Various industries cooperate and have complex connections. There are both incentives and constraints. These challenges to policymaking and government investment are crucial to economic development. It is about employment and social stability. To analyze the interrelationship between the major industries in China. Gross domestic product (GDP) data covers the period from 1978 to 2023 by industry, and the proportion of GDP in total GDP by industry. Visually, the line chart and the stack chart are used to show the changing trend of the total GDP and the proportion of each industry. It is found that there is a positive correlation between various industries. There has been no growth in GDP in one sector and a decline in GDP in another. Various industries are interdependent and influence each other to promote sustained economic growth. In addition, to conduct correlation analysis on the development of major industries in China, the normality test and Pearson correlation analysis were used for the GDP data of various industries. The former ensures that the data conforms to the normal distribution hypothesis to ensure the effectiveness of subsequent analysis, and the latter calculates the correlation coefficient among various factors. Measure the closeness of the relationship. The result displays that all industries have a strong positive correlation with China's GDP, and the lowest correlation coefficient is 0.975. This fully demonstrates the interdependence of various industries and their joint contribution to sustained and steady economic growth.

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